Hoang-Quynh Le

Orcid: 0000-0002-1778-0600

According to our database1, Hoang-Quynh Le authored at least 68 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering.
CoRR, May, 2026

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems.
CoRR, April, 2026

XAI-enhanced Comparative Opinion Mining via Aspect-based Scoring and Semantic Reasoning.
CoRR, March, 2026

NOWJ @BioCreative IX ToxHabits: An Ensemble Deep Learning Approach for Detecting Substance Use and Contextual Information in Clinical Texts.
CoRR, February, 2026

Comparing Without Saying: A Dataset and Benchmark for Implicit Comparative Opinion Mining from Same-User Reviews.
CoRR, January, 2026

UETQuintet at BioCreative IX - MedHopQA: Enhancing Biomedical QA with Selective Multi-hop Reasoning and Contextual Retrieval.
CoRR, January, 2026

From Passive Acceptance to Active Integration: A Multi-Stage Model of In-Service Secondary Vietnamese Teachers' AI Readiness.
J. Inf. Technol. Educ. Res., 2026

SEEDS: Curriculum-Driven Adaptive Regression Contrastive Learning for Robust Evidence-Based Depression Severity Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

FedCKD: A Knowledge Distillation Approach to Cross-Client Learning in Federated Learning with Label-Exclusive Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

Counterfactual Understanding via Retrieval-Aware Multimodal Modeling for Time-to-Event Survival Prediction.
Proceedings of the Advances in Information Retrieval, 2026

HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
A Graph-based Deep Learning Model with Multimodal Fusion for Vietnamese Recommendation Systems.
Rev. Socionetwork Strateg., October, 2025

Dataset, January, 2025

A multifaceted approach to drug-drug interaction extraction with fusion strategies.
J. Biomed. Informatics, 2025

Toward Effective Comparative Opinion Mining: A Novel Vietnamese Product Review Corpus and Benchmark Approach.
IEEE Access, 2025

CiteArXiv: A Citation-enriched Dataset and Heterogeneous Graph-based Model for Scientific Articles Summarization.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Dual-Enhanced Item Representation for Bundle Construction via Category-Wise and Cross-Modality Learning.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Beyond the Scientific Document: A Citation-Aware Multi-Granular Summarization Approach with Heterogeneous Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

BRIDGE: Bundle Recommendation via Instruction-Driven Generation.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

UET@eRisk2025: Severity Estimation for Depression Symptoms Searching and Early Risk Detection.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
BRIDGE: Bundle Recommendation via Instruction-Driven Generation.
CoRR, 2024

Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning.
CoRR, 2024

Overview of the VLSP 2023 - ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews.
CoRR, 2024

EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile.
CoRR, 2024

Zero-cost Transition to Multi-document Processing in Summarization with Multi-Channel Attention.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Bundle Recommendation with Item-Level Causation-Enhanced Multi-view Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

MERE: A Deep Learning Architecture Using Multi-Fragment Ensemble for Relation Extraction.
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024

Contrastive Summarization of User Reviews: An Aspect-based Abstractive Approach.
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024

The Masked Simple Graph Contrastive Learning for Recommendation.
Proceedings of the 16th International Conference on Knowledge and System Engineering, 2024

Continual Learning Based on Task Masking for Multi-domain Recommendation.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2024

Enhancing Deepfake Detection Through Innovative Data Augmentation Strategies and Frame-Based Deep Learning Architecture.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023
Overview of the VLSP 2022 - Abmusu Shared Task: A Data Challenge for Vietnamese Abstractive Multi-document Summarization.
CoRR, 2023

FOREcaST: Improving Extreme Weather Forecasts with Deep Neural Decision Forest for Climate Change Adaptation.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Enhancing Clinical Note Generation from Doctor-Patient Conversations through Semantic Partition-Oriented Summarization.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

HHMC: A Heterogeneous x Homogeneous Graph-Based Network for Multimodal Cross-Selling Recommendation.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Enhancing Aspect-Based Sentiment Analysis with Contextualized Window Attention Mechanism.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Contrastive Hierarchical Discourse Graph for Vietnamese Extractive Multi-Document Summarization.
Proceedings of the International Conference on Asian Language Processing, 2023

UETCorn at MEDIQA-Sum 2023: Template-based Summarization for Clinical Note Generation from Doctor-Patient Conversation.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

GIFT4Rec: An Effective Side Information Fusion Technique Apply to Graph Neural Network for Cold-Start Recommendation.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

Integrating Ontology-Based Knowledge to Improve Biomedical Multi-Document Summarization Model.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
VLSP 2022 Abmusu Task Dataset: A Resource for Vietnamese Abstractive Multi-Document Summarization.
Int. J. Asian Lang. Process., 2022

Exploiting document graphs for inter sentence relation extraction.
J. Biomed. Semant., 2022

EfficientRec: An Unlimited User Scale Recommendation System Based on Clustering and User's Interaction Embedding Profile.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021
Attention-Based Deep Learning Model for Aspect Classification on Vietnamese E-commerce Data.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

Models Distillation with Lifelong Deep Learning for Vietnamese Biomedical Named Entity Recognition.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

A Hybrid Multi-answer Summarization Model for the Biomedical Question-Answering System.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

An incremental ensemble learning system for Vietnamese e-commerce product classification.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

Aspect-Based Sentiment Analysis Using Mini-Window Locating Attention for Vietnamese E-commerce Reviews.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

THANOS: The Aspect Classification Model for Imbalanced Vietnamese E-commerce Review Data.
Proceedings of the International Conference on Asian Language Processing, 2021

UETfishes at MEDIQA 2021: Standing-on-the-Shoulders-of-Giants Model for Abstractive Multi-answer Summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Detection of Distributed Denial of Service Attacks Using Automatic Feature Selection with Enhancement for Imbalance Dataset.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020
A Targeted Topic Model based Multi-Label Deep Learning Classification Framework for Aspect-based Opinion Mining.
Proceedings of the 12th International Conference on Knowledge and Systems Engineering, 2020

2019
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information.
Bioinform., 2018

Large-scale Exploration of Neural Relation Classification Architectures.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Improving chemical-induced disease relation extraction with learned features based on convolutional neural network.
Proceedings of the 9th International Conference on Knowledge and Systems Engineering, 2017

2016
Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.
Database J. Biol. Databases Curation, 2016

An Experimental Study on Cholera Modeling in Hanoi.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
A Method for Building a Labeled Named Entity Recognition Corpus Using Ontologies.
Proceedings of the Advanced Computational Methods for Knowledge Engineering - Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications, 2015

2013
Exploring a Probabilistic Earley Parser for Event Composition in Biomedical Texts.
Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, 2013

2012
A Hybrid Approach to Finding Phenotype Candidates in Genetic Texts.
Proceedings of the COLING 2012, 2012

2011
An Integrated Approach Using Conditional Random Fields for Named Entity Recognition and Person Property Extraction in Vietnamese Text.
Proceedings of the International Conference on Asian Language Processing, 2011

2010
Automatic Named Entity Set Expansion Using Semantic Rules and Wrappers for Unary Relations.
Proceedings of the International Conference on Asian Language Processing, 2010


  Loading...